Part-Time Research Engineer

P.I. Works Inc; Fatih; On-site; TRY 39,000 - 56,000; Part time

Benefits offered by this job

Paid internship

Mentor support

Learning opportunities

Job summary

P.I. Works Inc is offering a paid internship to engineering students eager to work on 5G telecom data projects. You will collaborate with product and data teams, learn from industry experts, and gain hands-on experience in prototype development, data processing, and visualization.

Join a friendly, collaborative environment and receive mentorship to build your potential while applying Python and SQL skills to real-world telecom data challenges.

Qualifications

• Pursuing a Bachelor’s degree in Telecommunications, Computer/Software, AI or Automation engineering.
• Proficiency in Python and/or C# for scripting and prototyping.
• Experience with data collection, processing/cleaning and data visualization.
• Strong SQL skills for data extraction and analysis.
• Fluent in English for technical discussions and meetings.

Responsibilities

• Collaborate with the product team to design and develop prototypes of innovative telecom solutions and next-generation features.
• Conduct in-depth data analysis and validate algorithms to support decision-making for Product Owners.
• Handle data ingestion, movement, transformation, and ETL processes for effective product design.
• Create compelling data visualizations and clearly communicate insights to stakeholders.

Skills

Python

C#

SQL

Data visualization

English

Education

Bachelor’s degree in Telecommunications Engineering

Bachelor’s degree in Computer/Software Engineering

Artificial Intelligence Engineering

Control & Automation Engineering

Tools

Pandas

Power BI

Job description

P.I. Works is the first company in the world to automate the management of a commercial 5G network.

Our automated network management products and services empower Mobile Operators to accelerate network transformation and to drive network quality and efficiency on the path to 5G. These solutions have been deployed across 91 mobile network operators in 64 countries around the world.

Come and join us to work with the leading telecom operators around the world and redefine the mobile experience worldwide by contributing to our research and development efforts.

What you will have

• An opportunity to work with some of the brightest minds in the Software & Telecom industry.
• Hands-on opportunities to learn from the best and put your knowledge and skills to work
• A mentor to help you build and develop your potential
• A friendly, open, and collaborative environment that thrives on learning and practicing
• Paid internship opportunity
  

Key Responsibilities

• Collaborate with the product team to design and develop prototypes of innovative telecommunication solutions and next-generation features.
• Conduct in-depth data analysis and perform validation of algorithms and models to support Product Owners in making informed decisions.
• Handle data ingestion, movement, transformation, and ETL processes to enable effective product design and feature prioritization.
• Create compelling data visualizations using the most appropriate tools; interpret and clearly communicate the statistical insights and underlying stories to stakeholders.

Required Qualifications & Skills

• Currently pursuing a Bachelor’s degree in one of the following fields: Telecommunications Engineering, Computer/ Software Engineering, Artificial Intelligence Engineering, Control & Automation Engineering
• Practical experience in programming and scripting (Python and/or C# preferred)
• Hands-on experience with data collection, data processing / cleaning, and data visualization
• Strong proficiency in SQL (writing queries, data extraction, and analysis)
• Fluent in English, both written and spoken, with the ability to actively participate in technical discussions and meetings

Strongly Valued (Advantages / Nice-to-have)

• Practical knowledge or project experience in machine learning / AI model development
• Familiarity with Large Language Models (LLMs) and Intelligent Agents
• Solid understanding of statistics and strong data visualization skills
• Previous exposure to or working experience in the telecommunications domain